Abstract: Systems and methods implementing a path resolver facilitating client access to a distributed file system. An example method may comprise: receiving, by a processing device, a file identifier comprising a symbolic link; producing, by a user space process being executed by the processing device, a modified file identifier, by replacing a pre-defined sequence of characters within the file identifier by a path to a mount point of a distributed file system; and identifying, in view of the modified file identifier, a data structure comprising information about a file identified by the file identifier.

Abstract: Provided is a device for writing image files into memories, which includes a memory and a processor. The memory is configured to store an instruction. The processor is coupled to the memory, a hardware database and a software database. The processor is configured to access and execute the instruction from the memory to: confirm a production condition of a product, wherein the production condition includes a hardware component characteristic and a software component characteristic; generate an image file by comparing the hardware component characteristic with a plurality of hardware characteristic data in the hardware database, and comparing the software component characteristic with a plurality of software characteristic data in the software database; and write the image file into a product flash memory.

Abstract: A system for performing continuous transaction log backups with minimal resource usage of the client computing devices that are processing the transactions is disclosed. The system detects at least one input/output (I/O) activity at a client computing device. The I/O activity can be associated with at least one database operation performed via the client computing device. The system then executes one or more native commands to backup transactions log data associated with the detected I/O activity to a virtualized location. Backing-up the transactions log data comprises dynamically identifying a mount path location corresponding to the virtualized location, and transferring the transactions log data to the dynamically identified mount path using the one or more native commands. The system can then perform data processing operations (for example, data chunking and deduplicating) on the transactions log data after it is received at the dynamically identified mount path location.

Abstract: Examples described herein relate to a data protection policy management system (DPPMS) for tuning a data protection policy in events of failures. The DPPMS may detect a failure associated with an application that is protected via the data protection policy that includes settings corresponding to parameters comprising one or more of copy tiers, a data retention interval and a recovery point objective (RPO) for the copy tiers. The DPPMS may determine a type of the failure associated with the application. Further, the DPPMS may select, based on the type of the failure, at least one parameter of the parameters to be tuned in response to detection of the failure. Moreover, the DPPMS may tune the settings corresponding to the at least one selected parameter to adapt the data protection policy.

Abstract: A container group is created using a database deployment infrastructure (DI) administrator (HA). API privileges for the container group are granted, using the HA, to a container group administrator (GA). API privileges for a container created in the container group using the GA are granted, using the GA, to a container administrator (CA). API privileges for the container are granted, using the CA, to a container developer (CD). Schema privileges for the container are granted, using the CA, to a container consumer (CC). API privileges for the container group are revoked, using the HA, from the GA. The container group is dropped using the HA.

Abstract: A system and a method for grouping log lines in application log file is presented. The system uses logging framework code instrumentation in order to obtain a relation between the actual log line and the place in source code from which a method responsible for writing the line has been called. As the all information on the relation is stored in external metadata files, the structure of the log files remains unchanged. Using the above mentioned metadata and a raw log file, each log line in the file can be assigned to a group related to the place in source code from which the line has been logged, by the system. Next such a grouped log file can be displayed to the user in order to simplify the analysis of the application behavior.

Abstract: A database entry may be stored in a container in a database table corresponding with a partition key. The partition key may be determined by applying one or more partition rules to one or more data values associated with the database entry. The database entry may be an instance of one of a plurality of data object definitions associated with database entries in the database. Each of the data object definitions may identify a respective one or more data fields included within an instance of the data object definition.

Abstract: Implementations of the present disclosure include actions of receiving search results that are responsive to the search query, the search results being respectively representative of resources, processing one or more triggering rules based on at least one of the search query and the search results, determining, based on processing the one or more triggering rules, that a set of data records is to be displayed in a search results page with the search results, the set of data records including data records that are specific to the user, determining a display prominence of at least one data record in the set of data records, the display prominence indicating a prominence of the at least one data record when displayed in the search results page, and providing the search results and the set of data records for display, the at least one data record being displayed based on the display prominence.

Abstract: An example operation may include one or more of receiving, by a risk score module, a blockchain transaction proposal, obtaining transaction proposal data, obtaining external data, computing a risk score from the transaction proposal data and the external data, comparing the risk score to a risk score threshold, providing a commitment decision, based on the comparison, and one of committing or rejecting an endorsed transaction corresponding to the transaction proposal.

Abstract: A system and method for managing an electronic contract for hybrid runtime execution, which includes a contract execution service that comprises an internal runtime environment and a set of integrations to external resources with at least one integration to an on-chain runtime, wherein the contract execution service comprises configuration to: establish the electronic contract, wherein the electronic contract comprises a set of executable programmable components and a set of natural language components; change the state of the electronic contract and generate a contract event; and in response to the contract event: extend execution of the electronic contract to an on-chain environment, when the contract event includes an associated on-chain integration; and extend execution of the electronic contract to an external application resource, when the contract event includes an associated external service integration.

Abstract: A hosts file manager is provided that displays a user interface with a list of selectable server groups. The list may comprise, for example, identifications server groups. Each server group corresponds to an IP address, and the hosts file manager has access to such IP address data. A user selection of a first server group may be made and received via said user interface. A computer's hosts file may then be modified to correlate a hostname with an IP address of the selected server group.

Abstract: One example method includes receiving from a node, in an HSAN that includes multiple nodes, an ADD_DATA request to add an entry to a distributed ledger of the HSAN, the request comprising a user ID that identifies the node, a hash of a data segment, and a storage location of the data segment at the node, performing a challenge-and-response process with the node to verify that the node has a copy of the data that was the subject of the entry, making a determination that a replication factor X has not been met, and adding the entry to the distributed ledger upon successful conclusion of the challenge-and-response process.

Abstract: Migrating content between enterprise content management systems is described. A source object identifier is identified for metadata tables for content for a source enterprise content management system, based on a migration job definition. The metadata tables are retrieved from the source enterprise content management system, based on the source object identifier. A target object identifier is identified for a target enterprise content management system, based on the metadata tables and the migration job definition. An object identifier map is created that maps the source object identifier to the target object identifier. The metadata tables are stored to the target enterprise content management system, based on the object identifier map. The content for the source enterprise content management system is retrieved. The content is stored as content for the target enterprise content management system.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating configuration files. One of the methods includes presenting a plurality of configuration types to a user, each configuration type associated with a schema. The methods include the actions of receiving a selection of a configuration type. The method includes presenting a user interface to the user, the user interface including a plurality of fields, at least some of the fields corresponding attributes of the schema. The method includes receiving a plurality of values. The method includes generating a configuration file based on the plurality of values and the schema.

Abstract: One or more embodiments of the present invention include a memory and a processor. The memory includes a plurality of files, a master cluster record, and an operating system. The processor is configured to execute the operating system in order to locate and load each cluster of a file. Each file includes a plurality of clusters and each cluster includes a first pointer and a second pointer. The first pointer is linked to a previous cluster of a file and second pointer is linked to a subsequent cluster of the file using a double linked list data structure.

Abstract: A method for managing data includes obtaining data from a host, wherein the data is associated with an object identifier (ID), initiating a classification mapping update to obtain a classification entry, applying an erasure coding procedure to the data to obtain a plurality of data chunks and at least one parity chunk, deduplicating the plurality of data chunks to obtain a plurality of deduplicated data chunks, generating storage metadata associated with the plurality of deduplicated data chunks and the at least one parity chunk, generating an object entry associated with the plurality of data chunks, and the at least one parity chunk, wherein the object entry comprises the object ID and a classification ID, storing the storage metadata and the object entry in an accelerator pool, and storing the plurality of deduplicated data chunks and the at least one parity chunk.

Abstract: A DI recovery management system generates a plurality of ranked claimant records and recovery scores. A predictive machine learning model inputs disability income claim data and disability income claimant data into an event history model utilizing discrete-time survival analysis in conjunction with a gradient boosting machine learning model. The claim termination event is one of a plurality of preselected recovery events that indicate that a claimant has achieved return-to-work capacity. Claimant data used in modeling includes diagnosis data representative of workplace disability duration guidelines. The predictive machine learning model is continually trained using updated disability income claims data. The training procedure transforms claimant records extracted from a DI claims database into a longitudinal format that includes multiple person-year records corresponding to each claimant record.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for collecting data regarding resource views. In one aspect, a method includes generating a tag that includes instructions that, upon execution of the instructions, cause a device to perform operations including identifying content located in at least one particular portion of a structured resource. The particular portion can be specified by the instructions. The operations may include generating resource view data that includes parameters identifying the device and at least a portion of the identified content. The operations may include sending the resource view data to a server. A request for the tag may be received. The tag may be provided in response to the request.

Abstract: A system and method for providing fine-grained access control in a search engine. Access control predicates associated with a search query, including fixed-width and/or variable-width tokens, are received from the search engine, and are formatted in a machine-readable binary format to generate a single byte array. A pre-sorted memory index structure associated with the single byte array is generated, by sorting the access control predicates according to their token width. The pre-sorted memory index structure is merge joined with an uninverted terms index that includes a sorted list of all terms in a field associated with the search query, and a document index mapping each document identifier (ID) to a term ordinal for a specific field.

Abstract: Embodiments of the present invention relate to a method, system, and computer program product for compacting data in a distributed storage system. In some embodiments, a method is disclosed. According to the method, first information about historical resource usage of a data node and second information about a historical data compaction performed at the data node are obtained. The historical data compaction compacted data files associated with a first database table into one data file. A configuration for a data compaction to be performed on a plurality of data files associated with a second database table is generated based on the first and second information. The data compaction is performed during a future time period. In other embodiments, a system and a computer program product are disclosed.